Google AI Overviews Cut Clicks by 38% in 18 Months, What the Data Actually Shows

Google AI Overviews have been live for about eighteen months now, and the numbers aren't subtle.

The numbers

Multiple field studies, aggregated, put the organic CTR drop at 30–38% on triggered queries generally. The zero-click rate, searches that end without any click at all, has risen from 54% to 72% on AIO-triggered queries, and climbs as high as 93% inside Google's newer AI Mode experience.

Most eCommerce sites audited over the past year have lost somewhere between 20% and 40% of total organic sessions, even where rankings themselves are largely unchanged. The pages are still ranking. The clicks simply stopped arriving.

There's one genuinely useful counter-data point in all this: Seer Interactive found that being cited inside an AI Overview delivers 35% more organic clicks than ranking without being cited. The citation footprint matters more than the ranking position now.

What the brands that grew anyway did differently

A handful of clear patterns show up across the DTC brands that posted real organic growth despite the AIO impact rather than just riding out a decline.

Pivoting toward comparison and decision-stage content. Brands that had been ranking heavily for high-volume informational queries, exactly the queries AIO eats first, saw the strongest results when they pivoted hard toward comparison-style content, decision queries, and genuine buyer-guide material, the kind of content AIO tends to cite rather than fully summarize away. Comparison-query traffic converts at a meaningfully higher rate than the informational traffic it replaces, which is why organic revenue can grow faster than organic sessions in this pattern.

Investing in original, citable data. Rather than publishing more generic category content, some brands invested in original research instead, customer surveys, proprietary usage data, original analysis, and made it freely citable. Brands that do this well end up cited inside AI Overviews on a real share of category queries, and branded search volume tends to climb as a result, because AI tools consistently cite original data when users ask category-level questions.

Consolidating into entity hubs. Brands that pulled scattered blog content into entity-based hub pages, one definitive page per major product category, brand pillar, or customer segment, with related content linking up into the parent hub, saw those hub pages start showing up consistently in AIO citations, in a way that fragmented content across dozens of thin posts never did.

Doubling down on email and SMS to capture the consideration cycle. For brands where AIO cut into informational-query traffic, redirecting attention toward retention channels, building email and SMS journeys that capture intent at the moment a buyer is actually ready, meant total revenue kept growing even as organic session count declined, because the channel mix simply shifted rather than the business losing ground overall.

Dominating brand search and comparison content together. Brands that built comparison content AIO tends to cite, alongside real investment in brand search demand through PR, podcast appearances, and partnerships, saw strong sustained revenue growth even through periods where informational-query traffic was down meaningfully.

What worked and what didn't

None of the brands that grew did it by publishing more content to "fight back" against AIO, stuffing keywords harder, buying backlinks, switching to a different "AI-optimized" CMS, or abandoning SEO for social. What they did instead: shifted content toward the query types AIO tends not to fully absorb, comparisons, decisions, buyer guides, original data; consolidated authority into entity hubs instead of scattering it across dozens of posts; built real brand search demand through PR, social, and partnerships; doubled down on the retention machine so whatever clicks did arrive monetized at two to three times the rate; and measured organic revenue, not organic clicks, the metric that actually reflects what's happening to the business.

What to do this quarter

Pull a year-over-year comparison of the top fifty pages by traffic, looking at impressions versus clicks, if impressions are flat but clicks are down, that's AIO; if both are down, it's a ranking issue instead, which needs a different fix. Identify which specific queries are AIO-triggered (tools like Semrush or Ahrefs can flag this), those queries need a different content strategy than the ones that aren't affected. Audit the citation footprint: is the content actually getting cited inside any AI Overviews? If not, that's the urgent fix, since cited content is pulling in 35% more clicks than content that merely ranks. Build out the retention layer so the clicks that do arrive monetize properly. And resist the instinct to panic-publish, more content isn't the answer; better, denser, more citable content is.